【摘要】 协同克立格法,同时兼具化探数据多元性及克立格法表征空间属性的特点。考虑到地质变量两个以上的空间属性,在化探数据处理中运用协同克立格法,可以进一步提高估计精度。运用协同克立格法对广西林旺矿区中金元素成矿进行预测,经相关性分析显示,在矿区中元素的基本组合是Au、Ag、As、Hg,协同克立格插值以Au为主要变量,伴生元素Ag、As、Hg为次要变量。把插值计算后的结果与传统多元统计方法和普通克立格法的计算结果进行比较,结果协同克立格法得到的估值误差较小,预测精度较高,在成矿元素的预测中具有一定程度的优越性。更多还原

【Abstract】 Cokriging is characteristiced by both multeity and kriging’s advantages of representing the spatial attributes, which regionalizes two or more spatial attributions, and can improve the estimation accuracy in the geochemical data processing. Taken Lin Wang area as an example, the cokriging method is used to predict the reserve of gold element in the mineral area. The basal element combination of gold, silver, arsenic and mercury is showed by correlation analysis,which Au as the main variable element while Ag, As,Hg are the second elements. Compared with the traditional multivariate statistical methods of kriging,cokriging gets less estimated errors and high estimated accuracy. It is more superior than other methods in the predication of the mineral prospecting.更多还原